Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: OLS assumptions not met: transformation, gls, or glm as solutions?
From
"JVerkuilen (Gmail)" <[email protected]>
To
[email protected]
Subject
Re: st: OLS assumptions not met: transformation, gls, or glm as solutions?
Date
Mon, 17 Dec 2012 09:18:53 -0500
In addition to what others have suggested you might consider quantile
regression (-qreg-) or using -poisson- with robust standard errors, as
per this blog post:
http://blog.stata.com/tag/log-linear-regression/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/